In recent times, the problem of Unsolicited Bulk Email (UBE) or commonly known as Spam Email, has increased at a tremendous growth rate. We present an analysis of survey based on classifications of UBE in various research works. There are many research instances for classification between spam and non-spam emails but very few research instances are available for classification of spam emails, per se. This paper does not intend to assert some UBE classification to be better than the others nor does it propose any new classification but it bemoans the lack of harmony on number and definition of categories proposed by different researchers. The paper also elaborates on factors like intent of spammer, content of UBE and ambiguity in different categories as proposed in related research works of classifications of UBE. Keywords—E-mail, Scams, Spam Email, Unsolicited Bulk Email (UBE)
[1]
Susan T. Dumais,et al.
A Bayesian Approach to Filtering Junk E-Mail
,
1998,
AAAI 1998.
[2]
Thorsten Joachims,et al.
Detecting Concept Drift with Support Vector Machines
,
2000,
ICML.
[3]
Stefan Savage,et al.
Spamscatter: Characterizing Internet Scam Hosting Infrastructure
,
2007,
USENIX Security Symposium.
[4]
Wojciech P. Gajewski,et al.
Adaptive Naïve Bayesian Anti-Spam Engine
,
2007,
IEC.
[5]
Te-Ming Chang,et al.
An incremental cluster-based approach to spam filtering
,
2008,
Expert Syst. Appl..
[6]
Wanli Ma,et al.
Filtering Spam Email with Flexible Preprocessors
,
2008
.